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CNTK/Tutorials/ImageHandsOn
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Philipp Kranen 9231ece8ce Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
..
CifarConverter.py Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
ImageHandsOn.cntk Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
ImageHandsOn_Solution1.cntk Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
ImageHandsOn_Solution2.cntk Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
ImageHandsOn_Solution3.cntk Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
ImageHandsOn_Solution4.cntk Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
ImageHandsOn_Solution5.cntk Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
ImageHandsOn_Task4_Start.cntk Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
ImageHandsOn_Task6.cntk Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
README.md Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
cifar10.ResNet.cmf Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
cifar10.pretrained.cmf Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00

README.md

CNTK Tuturial: Image recognition

Overview

This hands-on lab shows how to implement convolution-based image recognition with CNTK. We will start with a common convolutional image-recognition architecture, add Batch Normalization, and then extend it into a Residual Network (ResNet-20).

Tutorial

Please find a detailed tutorial that uses the data and configurations in this folder on out website at https://github.com/Microsoft/CNTK/wiki/Hands-On-Labs-Image-Recognition